Agent workflows
Many minds,
one task.
Put a team of AI helpers to work in parallel.
Agent workflows takes a big job and splits it into parts, runs those parts at the same time, and reports back with structured results you can act on.
Instead of one assistant working through a problem step by step, you get a coordinated team — each handling its own slice, all at once.
01
Parallel fan-out
One request becomes many. The work is broken into independent parts and dispatched to run simultaneously — not one after another.
02
Delegation
Each part is handed to its own helper with a clear, scoped assignment. The pieces stay separate so they don't step on each other.
03
Structured results
Findings come back in a consistent, machine-readable shape — ready to combine, review, or feed into whatever comes next.
How a job moves through it
01
SplitA large task is divided into parts that can stand on their own.
02
Run at onceEvery part is assigned to a helper and worked in parallel.
03
Report backEach helper returns a structured result, gathered into one place.